How can cardiologists take the lead in moving AI forward?
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How can cardiologists take the lead in moving AI forward?

Guermantes, France - Outside Paris - 30 min away from Charles de Gaulle Airport

26/03/2025 11:30 27/03/2025 12:10 Europe/Paris How can cardiologists take the lead in moving AI forward?

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In-person
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Objectives of the CRT meeting

To establish a comprehensive and actionable roadmap for the trustworthy implementation of AI into clinical practice within cardiology, ensuring that AI tools are reliable, evidence-based, and contribute to improved patient outcomes. This roadmap will be developed through collaboration between the medical industry, regulators, notified bodies, professional societies, policy makers, payers and patient representatives. Insights and findings from the meeting will be summarised and distributed via academic publications including a white paper and industry reports.

Objectives of the 2nd CRT on AI meeting:

  • How can cardiologists transition from a reactive position to a proactive role and lead the development of AI?
  • Create a platform to bring together diverse expertise, spark innovation, and create actionable plans to move the field of AI in cardiology forward.
  • Identify and address critical challenges in advancing AI applications development and implementation in cardiology.

Objectives of the 2nd CRT on AI meeting:

  • Presentation of four projects to be launched and accomplished in one year.

Co-Chairs

Academic Chairpersons

  • Prof. Folkert Asselbergs
  • Prof. Ruben Casado Arroyo
  • Prof. Cecilia Linde (ESC President-Elect and ESC Chair of the CRT)

Industry Chairpersons

  • Dr. Katarzyna Markiewicz /Philips
  • Prof. Rodolphe Katra /Medtronic
  • Prof. Alexandra Goncalves /BMS (Industry Chair of the CRT)

 

Day 1:  26 March 2025  11:30–19:15 CEST 

Time and Session

11:30-15:50-SESSION 1

MODERATED BY: Ruben Casado Arroyo and Katarzyna Markiewicz (Philips) 

Time and Session

11:30-11:35 Welcome from the CRT Chairpersons

Speakers

Alexandra Goncalves (BMS)

Cecilia Linde

Time and Session

11:35-11:45 Summary of the previous meeting on AI 

Speakers

Ruben Casado Arroyo

Katarzyna Markiewicz (Philips) 

Time and Session

11:45-12:00 Agenda overview and expected outcomes 

Speakers

Guy Spigelman (Amazon Web Services) & meeting facilitator 

Folkert Asselbergs

Time and Session

12:10-12:30 What are the requirements for evidence generation of AI models to be guideline proof?

Speakers

Rohan Khera 

Time and Session

12:30-13:30 Buffet Lunch

Time and Session

13:30-14:30 BREAKOUT SESSIONS : BRAINSTORM ON IDEAS OF PROJECT TO BE DEVELOPED TO IMPROVE CLINICAL PRACTICES WITH AI

(goal 10 to 15 ideas to be presented) 

Time and Session

Group 1: How can ESC accelerate the adoption of AI? (e.g incubator) 

Speakers

Lead: Enrico Caiani 

Rapporteur: Alan Fraser

Time and Session

Group 2: AI for empowering physicians (e.g: Guideline chat bot) 

Speakers

Lead: Carlos Pena Gil 

Rapporteur: Philip Moons

Time and Session

Group 3: AI for empowering patients (e.g: virtual Drs) 

Speakers

Lead: Gerhard Hindricks

Rapporteur: Andre Ziegler (Roche)

Time and Session

Group 4: Collaboration between Industry and clinicians (e.g : write best practices for the use of AI in clinical trials) 

Speakers

Lead: Panos Vardas 

Rapporteur: Sarah Adams (Alnylam) 

Time and Session

14:30-14:40 Report from breakout session 1

Speakers

Rapporteur: Alan Fraser

Time and Session

14:40-14:50 Report from breakout session 2

Speakers

Rapporteur: Philip Moons

Time and Session

14:50-15:00 Report from breakout session 3

Speakers

Rapporteur: Andre Ziegler (Roche)

Time and Session

15:00-15:10 Report from breakout session 4

Speakers

Rapporteur: Sarah Adams (Alnylam)

Time and Session

15:10-15:50 PANEL DISCUSSION and NEXT STEPS

Time and Session

15:50-16:20 Coffee Break

Time and Session

16:20-19:00 - SESSION 2

MODERATED BY: Folkert Asselbergs and Alexandra Goncalves (BMS)

Time and Session

16:20-16:35 Usability by design requirements to enable seamless integration of AI into clinical workflows. The experience of EPIC 

Speakers

 John Rozier (EPIC) 

Time and Session

16:35-16:50 Guidance for Clinical Trial design for evaluation of GenAI 

Speakers

Spiros Denaxas (by zoom) 

Time and Session

16:50-17:05 EMA view on regulation, what will be the next steps to adopt AI in clinical practice

Speakers

Florian Lasch EMA (by zoom)

Time and Session

17:05-17:45 BREAKOUT SESSIONS: WHAT MECHANISMS FROM THE ESC PERSPECTIVES SHOULD EXIST TO ENSURE SUCCESSFUL IMPLEMENTATION OF AI?  

(selection of the best idea per group to develop) 

Time and Session

Group 1: How can ESC accelerate the adoption of AI? (e.g incubator) 

Speakers

Lead: Enrico Caiani  

Rapporteur: Alan Fraser

Time and Session

Group 2: AI for empowering physicians (e.g: Guideline chat bot) 

Speakers

Lead: Carlos Pena Gil 

Rapporteur: Philip Moons

Time and Session

Group 3: AI for empowering patients (e.g: virtual Drs) 

Speakers

Lead: Gerhard Hindricks

Rapporteur: Andre Ziegler (Roche)

Time and Session

Group 4: Collaboration between Industry and clinicians (e.g : write best practices for the use of AI in clinical trials) 

Speakers

Lead: Panos Vardas 

Rapporteur: Sarah Adams (Alnylam)

Time and Session

17:45-17:55 Report from breakout session 1

Speakers

Rapporteur: Alan Fraser

Time and Session

17:55-18:05 Report from breakout session 2

Speakers

Rapporteur: Philip Moons

Time and Session

18:05-18:15 Report from breakout session 3

Speakers

Rapporteur: Andre Ziegler (Roche)

Time and Session

18:15-18:25 Report from breakout session 4

Speakers

Rapporteur: Sarah Adams (Alnylam)

Time and Session

18:25-19:00 PANEL DISCUSSION and NEXT STEPS

Time and Session

 

Time and Session

END OF DAY 1

Time and Session

19:45 APERITIF + DINNER

Speakers

 

Time and Session

Speakers

11:30-15:50-SESSION 1

MODERATED BY: Ruben Casado Arroyo and Katarzyna Markiewicz (Philips) 

11:30-11:35 Welcome from the CRT Chairpersons

Alexandra Goncalves (BMS)

Cecilia Linde

11:35-11:45 Summary of the previous meeting on AI 

Ruben Casado Arroyo

Katarzyna Markiewicz (Philips) 

11:45-12:00 Agenda overview and expected outcomes 

Guy Spigelman (Amazon Web Services) & meeting facilitator 

Folkert Asselbergs

12:10-12:30 What are the requirements for evidence generation of AI models to be guideline proof?

Rohan Khera 

12:30-13:30 Buffet Lunch

13:30-14:30 BREAKOUT SESSIONS : BRAINSTORM ON IDEAS OF PROJECT TO BE DEVELOPED TO IMPROVE CLINICAL PRACTICES WITH AI

(goal 10 to 15 ideas to be presented) 

Group 1: How can ESC accelerate the adoption of AI? (e.g incubator) 

Lead: Enrico Caiani 

Rapporteur: Alan Fraser

Group 2: AI for empowering physicians (e.g: Guideline chat bot) 

Lead: Carlos Pena Gil 

Rapporteur: Philip Moons

Group 3: AI for empowering patients (e.g: virtual Drs) 

Lead: Gerhard Hindricks

Rapporteur: Andre Ziegler (Roche)

Group 4: Collaboration between Industry and clinicians (e.g : write best practices for the use of AI in clinical trials) 

Lead: Panos Vardas 

Rapporteur: Sarah Adams (Alnylam) 

14:30-14:40 Report from breakout session 1

Rapporteur: Alan Fraser

14:40-14:50 Report from breakout session 2

Rapporteur: Philip Moons

14:50-15:00 Report from breakout session 3

Rapporteur: Andre Ziegler (Roche)

15:00-15:10 Report from breakout session 4

Rapporteur: Sarah Adams (Alnylam)

15:10-15:50 PANEL DISCUSSION and NEXT STEPS

15:50-16:20 Coffee Break

16:20-19:00 - SESSION 2

MODERATED BY: Folkert Asselbergs and Alexandra Goncalves (BMS)

16:20-16:35 Usability by design requirements to enable seamless integration of AI into clinical workflows. The experience of EPIC 

 John Rozier (EPIC) 

16:35-16:50 Guidance for Clinical Trial design for evaluation of GenAI 

Spiros Denaxas (by zoom) 

16:50-17:05 EMA view on regulation, what will be the next steps to adopt AI in clinical practice

Florian Lasch EMA (by zoom)

17:05-17:45 BREAKOUT SESSIONS: WHAT MECHANISMS FROM THE ESC PERSPECTIVES SHOULD EXIST TO ENSURE SUCCESSFUL IMPLEMENTATION OF AI?  

(selection of the best idea per group to develop) 

Group 1: How can ESC accelerate the adoption of AI? (e.g incubator) 

Lead: Enrico Caiani  

Rapporteur: Alan Fraser

Group 2: AI for empowering physicians (e.g: Guideline chat bot) 

Lead: Carlos Pena Gil 

Rapporteur: Philip Moons

Group 3: AI for empowering patients (e.g: virtual Drs) 

Lead: Gerhard Hindricks

Rapporteur: Andre Ziegler (Roche)

Group 4: Collaboration between Industry and clinicians (e.g : write best practices for the use of AI in clinical trials) 

Lead: Panos Vardas 

Rapporteur: Sarah Adams (Alnylam)

17:45-17:55 Report from breakout session 1

Rapporteur: Alan Fraser

17:55-18:05 Report from breakout session 2

Rapporteur: Philip Moons

18:05-18:15 Report from breakout session 3

Rapporteur: Andre Ziegler (Roche)

18:15-18:25 Report from breakout session 4

Rapporteur: Sarah Adams (Alnylam)

18:25-19:00 PANEL DISCUSSION and NEXT STEPS

 

END OF DAY 1

19:45 APERITIF + DINNER

 

Day 2:  27 March 2025  08:30–12:30 CEST

Time and Session

08:30-08:40 Summary of day 1

Speakers

Folkert Asselbergs

Rodolphe Katra (Medtronic) 

Time and Session

08:40 – 12:30 SESSION 2.1: BRIDGING THE GAP BETWEEN RESEARCH, REGULATION AND COMMERCIALIZATION

MODERATED BY: CECILIA LINDE AND RODOLPHE KATRA (MEDTRONIC) 

Time and Session

08:40-08:55 Ecosystem development for responsible AI implementation  

Speakers

Markus Vogel (Microsoft)

Time and Session

08:55-09:10 Assessment criteria supporting implementation and reimbursement of responsible AI systems (incl. HTA Labs)

Speakers

Emily Eaton Turner (NICE)

Time and Session

09:10-09:25 How to ensure trustworthiness in AI for healthcare: FUTURE-AI guidelines 

Speakers

Karim Lekadir

Time and Session

09:25-09:45  Coffee Break

Time and Session

09:45-10:30 BREAKOUT SESSIONS: PRESENT YOUR CONCLUSIONS IN 5 SLIDES

Time and Session

Group 1: How can ESC accelerate the adoption of AI ? (e.g incubator) 

Speakers

Lead: Enrico Caiani  

Rapporteur: Alan Fraser

Time and Session

Group 2: AI for empowering physicians (e.g: Guideline chat bot) 

Speakers

Lead: Carlos Pena Gil 

Rapporteur: Philip Moons

Time and Session

Group 3: AI for empowering patients (e.g: virtual Drs) 

Speakers

Lead: Gerhard Hindricks

Rapporteur: Andre Ziegler (Roche)

Time and Session

Group 4: Collaboration between Industry and clinicians (e.g : write best practices for the use of AI in clinical trials) 

Speakers

Lead: Panos Vardas 

Rapporteur: Sarah Adams (Alnylam)  

 

Time and Session

10:30-10:40 Report from breakout session 1

Speakers

Rapporteur: Alan Fraser

Time and Session

10:40-10:50 Report from breakout session 2

Speakers

Rapporteur: Philip Moons

Time and Session

10:50-11:00 Report from breakout session 3

Speakers

Rapporteur: Andre Ziegler (Roche)

Time and Session

11:00-11:10 Report from breakout session 4

Speakers

Rapporteur: Sarah Adams (Alnylam)

Time and Session

11:10-12:00 PANEL DISCUSSION and NEXT STEPS 

Speakers

 

Time and Session

12:00-12:20 Wrap-up, conclusions

Speakers

Folkert Asselbergs

Rodolphe Katra (Medtronic)  

Time and Session

END OF DAY 2

Time and Session

12:30 Buffet Lunch and Departures

Time and Session

Speakers

08:30-08:40 Summary of day 1

Folkert Asselbergs

Rodolphe Katra (Medtronic) 

08:40 – 12:30 SESSION 2.1: BRIDGING THE GAP BETWEEN RESEARCH, REGULATION AND COMMERCIALIZATION

MODERATED BY: CECILIA LINDE AND RODOLPHE KATRA (MEDTRONIC) 

08:40-08:55 Ecosystem development for responsible AI implementation  

Markus Vogel (Microsoft)

08:55-09:10 Assessment criteria supporting implementation and reimbursement of responsible AI systems (incl. HTA Labs)

Emily Eaton Turner (NICE)

09:10-09:25 How to ensure trustworthiness in AI for healthcare: FUTURE-AI guidelines 

Karim Lekadir

09:25-09:45  Coffee Break

09:45-10:30 BREAKOUT SESSIONS: PRESENT YOUR CONCLUSIONS IN 5 SLIDES

Group 1: How can ESC accelerate the adoption of AI ? (e.g incubator) 

Lead: Enrico Caiani  

Rapporteur: Alan Fraser

Group 2: AI for empowering physicians (e.g: Guideline chat bot) 

Lead: Carlos Pena Gil 

Rapporteur: Philip Moons

Group 3: AI for empowering patients (e.g: virtual Drs) 

Lead: Gerhard Hindricks

Rapporteur: Andre Ziegler (Roche)

Group 4: Collaboration between Industry and clinicians (e.g : write best practices for the use of AI in clinical trials) 

Lead: Panos Vardas 

Rapporteur: Sarah Adams (Alnylam)  

 

10:30-10:40 Report from breakout session 1

Rapporteur: Alan Fraser

10:40-10:50 Report from breakout session 2

Rapporteur: Philip Moons

10:50-11:00 Report from breakout session 3

Rapporteur: Andre Ziegler (Roche)

11:00-11:10 Report from breakout session 4

Rapporteur: Sarah Adams (Alnylam)

11:10-12:00 PANEL DISCUSSION and NEXT STEPS 

 

12:00-12:20 Wrap-up, conclusions

Folkert Asselbergs

Rodolphe Katra (Medtronic)  

END OF DAY 2

12:30 Buffet Lunch and Departures

 

Biographies